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Communication Dans Un Congrès Année : 2013

Video-informed acoustic transfer function estimation for enhancing audio source separation through noise source suppression

Résumé

This paper describes a method where an interference noise source within an audio source separation scenario is suppressed from a mixture. The principal idea of the proposed method is to use a video camera array for locating a interference noise source whose 3D position will be used to estimate a matrix of frequency responses (FRs) by linearly combining a series of previously known FRs. A filter is calculated to remove the contribution of the noise source from a convolutive mixture at each microphone, through the estimated FRs. The proposed method is assumed to implemented in a 'block-wise' manner in time domain and has been tested on mixtures created by impulse responses generated by the image method for small room acoustics.
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Dates et versions

hal-00931102 , version 1 (14-01-2014)

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Jack Harris, Bertrand Rivet, Naqvi Syed Mohsen, Jonathon Chambers, Christian Jutten. Video-informed acoustic transfer function estimation for enhancing audio source separation through noise source suppression. MLSP 2013 - IEEE 23rd International Workshop on Machine Learning for Signal Processing, Sep 2013, Southampton, United Kingdom. pp.1-6, ⟨10.1109/MLSP.2013.6661927⟩. ⟨hal-00931102⟩
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